US20050201515A1 - 4D imaging with a C-arm X-ray system - Google Patents
4D imaging with a C-arm X-ray system Download PDFInfo
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- US20050201515A1 US20050201515A1 US11/036,307 US3630705A US2005201515A1 US 20050201515 A1 US20050201515 A1 US 20050201515A1 US 3630705 A US3630705 A US 3630705A US 2005201515 A1 US2005201515 A1 US 2005201515A1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/46—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment with special arrangements for interfacing with the operator or the patient
- A61B6/461—Displaying means of special interest
- A61B6/466—Displaying means of special interest adapted to display 3D data
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/113—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb occurring during breathing
- A61B5/1135—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb occurring during breathing by monitoring thoracic expansion
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/44—Constructional features of apparatus for radiation diagnosis
- A61B6/4429—Constructional features of apparatus for radiation diagnosis related to the mounting of source units and detector units
- A61B6/4435—Constructional features of apparatus for radiation diagnosis related to the mounting of source units and detector units the source unit and the detector unit being coupled by a rigid structure
- A61B6/4441—Constructional features of apparatus for radiation diagnosis related to the mounting of source units and detector units the source unit and the detector unit being coupled by a rigid structure the rigid structure being a C-arm or U-arm
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/44—Constructional features of apparatus for radiation diagnosis
- A61B6/4405—Constructional features of apparatus for radiation diagnosis the apparatus being movable or portable, e.g. handheld or mounted on a trolley
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/54—Control of apparatus or devices for radiation diagnosis
- A61B6/541—Control of apparatus or devices for radiation diagnosis involving acquisition triggered by a physiological signal
Definitions
- the present invention concerns methods and systems for medical imaging of an examination subject.
- the technical problem to be solved with this invention is the imaging of parts of the patient anatomy that are moving periodically during the acquisition, for instance, due to patient breathing.
- CT computer tomography
- 4D four-dimensional
- external sensors e.g., spirometers, etc.
- 3D three-dimensional
- 3D reconstruction of objects in motion using X-ray C-arm systems up to now have been limited to a few applications.
- a C-arm imaging device that can image the whole patient anatomy in a breath hold (10-20 sec), but this depends on the patient condition. This can he achieved with stationary C-arms moving with a speed up to 40 degrees/sec.
- Using mobile X-ray C-arms in the operating room on anesthetized patients allows breathing motion to be reduced to an absolute minimum for, e.g., the one minute of time that it takes for image acquisition.
- the present invention does not rely on such breath-holding or motion-stabilizing activities, but rather is able to utilize periodic motion advantageously by the use of external motion sensors that are able to provide position and motion information along with the measurement information so that image data sets can be reconstructed and analyzed based on a particular portion of a motion cycle.
- FIG. 1 is a pictorial schematic side view of a C-arm X-ray system having external position and motion sensors;
- FIG. 2 is a cross-sectional pictorial view of a chest area of a patient showing the sensors
- FIG. 3 is a sequence diagram showing the imaging over three motion cycle periods.
- a C-Arm X-ray/irradiation system 10 is shown in which a C-arm 12 comprises an x-ray or radiation source 16 and detector 14 configured to irradiate a patient 15 and provide image information to a processor 17 for analysis.
- external sensors 18 , 18 ′, 18 a are provided in order to measure the position and motion (such as breathing) of the patient 15 in order to assign to each image a time stamp.
- the external sensors may be, e.g., image based cameras 18 , 18 ′ or a pressure belt 18 a used to detect abdomen pressure against such a belt during a breathing cycle.
- the invention is not limited to the use of image devices 18 , 18 ′ or pressure belt 18 a, but comprises any device that is able to determine motion or position information of a subject or portion of a subject.
- FIGS. 2 A-D illustrate this approach in an embodiment where the motion is breathing related.
- P 1 point information
- P 2 x, y, z, t 0
- the motion detectors 18 , 18 ′ are able to make this determination by examining the point information P 1 (x, y, z, t 1 ), P 2 (x, y, z, t 1 ) located on the body, with image i 1 shown.
- the motion detectors 18 , 18 ′ are able to make this determination by examining the point information P 1 (x, y, z, t 2 ), P 2 (x, y, z, t 2 ) located on the body, with image i 2 shown.
- P 1 point information
- P 2 x, y, z, t 2
- the motion detectors 18 , 18 ′ are able to make this determination by examining the point information P 1 (x, y, z, t 3 ), P 2 (x, y, z, t 3 ) located on the body, with image i 3 shown.
- FIG. 3 The imaging over three motion cycles is illustrated in FIG. 3 , with Cycle 1 representing the imaging from FIGS. 2 A-D. It can be seen that images i 0-3 are acquired in Cycle 1 , each corresponding to particular phase of the motion cycle. The images i 0 ′-i 3 ′ are acquired in Cycle 2 , again corresponding to a particular phase of the motion cycle and this process is repeated again for Cycle 3 producing the images i 0 ′′-i 3 ′′.
- a post-processing using state-of-the-art interpolation techniques (such as morphing) allows the creation of a 4D dataset I 0-3 from the separately reconstructed 3D reconstructions.
- the implementation of the above-described technique is very simple and straightforward. Instead of triggering the acquisition of the C-arm 12 , which would result in a complicated synchronization and geometry calibration procedure, it is suggested to use the inverse approach.
- the signals of the C-arm 12 (C-arm, flat panel/image intensifier) can be read out by the processor 17 and, together with the signal from the motion monitoring device 18 , 18 ′, 18 a a time stamp is generated for each projection image that corresponds it with a part of the motion cycle.
- the image dataset i 0 -i 3 ′′ is split into sub image datasets i 0 -i 0 ′′ to i 3 -i 3 ′′ to perform the independent reconstructions for the different parts of the motion cycle.
- the 4D dataset I can be created from the several 3D volumes I 0 -I 3 using known techniques. What is significant is that the image reconstruction is based on information related to the position within a cycle during a continuous acquisition of image data.
- the present invention may be described in terms of functional block components and various processing steps. Such functional blocks may be realized by any number of hardware and/or software components configured to perform the specified functions.
- the present invention may employ various integrated circuit components, e.g., memory elements, processing elements, logic elements, look-up tables, and the like, which may carry out a variety of functions under the control of one or more microprocessors or other control devices.
- the elements of the present invention are implemented using software programming or software elements the invention may be implemented with any programming or scripting language such as C, C++, Java, assembler, or the like, with the various algorithms being implemented with any combination of data structures, objects, processes, routines or other programming elements.
- the present invention could employ any number of conventional techniques for electronics configuration, signal processing and/or control, data processing and the like.
Abstract
Description
- The present application claims the benefit of U.S. Provisional Application No. 60/546,573, filed Feb. 20, 2004, herein incorporated by reference.
- The present invention concerns methods and systems for medical imaging of an examination subject.
- The technical problem to be solved with this invention is the imaging of parts of the patient anatomy that are moving periodically during the acquisition, for instance, due to patient breathing. In computer tomography (CT) applications, four-dimensional (4D) methods are gaining interest. Using external sensors (e.g., spirometers, etc.) the image information that is continuously being acquired is associated with position information and organized accordingly. Several three-dimensional (3D) volumes can be reconstructed corresponding to several points within the periodical motion of the patient anatomy. Not only in imaging but also in radiation therapy such methods are being used in order to optimize and reduce the radiation that is applied to the patients. Also for angiography applications, such methods would be very advantageous, as this would enable a 3D visualization of blood flow in 3D.
- 3D reconstruction of objects in motion using X-ray C-arm systems up to now have been limited to a few applications. For using such a system on a region of a patient that is in motion due to respiration, one possibility is to use a C-arm imaging device that can image the whole patient anatomy in a breath hold (10-20 sec), but this depends on the patient condition. This can he achieved with stationary C-arms moving with a speed up to 40 degrees/sec. Using mobile X-ray C-arms in the operating room on anesthetized patients allows breathing motion to be reduced to an absolute minimum for, e.g., the one minute of time that it takes for image acquisition.
- The present invention does not rely on such breath-holding or motion-stabilizing activities, but rather is able to utilize periodic motion advantageously by the use of external motion sensors that are able to provide position and motion information along with the measurement information so that image data sets can be reconstructed and analyzed based on a particular portion of a motion cycle.
- Various embodiments of the invention are described below and are illustrated by the following drawings.
-
FIG. 1 is a pictorial schematic side view of a C-arm X-ray system having external position and motion sensors; -
FIG. 2 is a cross-sectional pictorial view of a chest area of a patient showing the sensors; and -
FIG. 3 is a sequence diagram showing the imaging over three motion cycle periods. - As illustrated in
FIG. 1 , a C-Arm X-ray/irradiation system 10 is shown in which a C-arm 12 comprises an x-ray orradiation source 16 anddetector 14 configured to irradiate apatient 15 and provide image information to aprocessor 17 for analysis. - According to an embodiment of the invention,
external sensors patient 15 in order to assign to each image a time stamp. The external sensors may be, e.g., image basedcameras image devices - In
FIG. 2A , a cross-section of the patent's 15 chest area is shown with thelungs 19 in an empty (exhaled) state, which, for the breathing periodic motion, could be considered as θ=0°. Themotion detectors lungs 19 are partially filled during the inhale portion of the cycle, corresponding with a periodic motion position of, e.g., θ=90° (FIG. 2B ), themotion detectors - Correspondingly, as illustrated in
FIG. 2C when thelungs 19 are completely filled, corresponding with a periodic motion position of, e.g., θ=180°, themotion detectors lungs 19 are partially emptied during the exhale portion of the cycle, corresponding with a periodic motion position of, e.g., θ=270° (FIG. 2D ), themotion detectors - The imaging over three motion cycles is illustrated in
FIG. 3 , withCycle 1 representing the imaging from FIGS. 2A-D. It can be seen that images i0-3 are acquired inCycle 1, each corresponding to particular phase of the motion cycle. The images i0′-i3′ are acquired inCycle 2, again corresponding to a particular phase of the motion cycle and this process is repeated again forCycle 3 producing the images i0″-i3″. - This operation allows one to collect all images out of the complete image series that have been acquired at a certain part of the motion cycle. All images belonging to one part of the motion cycle, e.g., for θ=90°, i1, i1′ and i1″ are reconstructed into 11 independently from the rest. They represent a 3D reconstruction of the patient anatomy for that particular part of the breathing cycle θ=90°. A post-processing using state-of-the-art interpolation techniques (such as morphing) allows the creation of a 4D dataset I0-3 from the separately reconstructed 3D reconstructions.
- The implementation of the above-described technique is very simple and straightforward. Instead of triggering the acquisition of the C-
arm 12, which would result in a complicated synchronization and geometry calibration procedure, it is suggested to use the inverse approach. The signals of the C-arm 12 (C-arm, flat panel/image intensifier) can be read out by theprocessor 17 and, together with the signal from themotion monitoring device - After image acquisition is complete, the image dataset i0-i3″ is split into sub image datasets i0-i0″ to i3-i3″ to perform the independent reconstructions for the different parts of the motion cycle. After this process is finished, the 4D dataset I can be created from the several 3D volumes I0-I3 using known techniques. What is significant is that the image reconstruction is based on information related to the position within a cycle during a continuous acquisition of image data.
- For the purposes of promoting an understanding of the principles of the invention, reference has been made to the preferred embodiments illustrated in the drawings, and specific language has been used to describe these embodiments. However, no limitation of the scope of the invention is intended by this specific language, and the invention should be construed to encompass all embodiments that would normally occur to one of ordinary skill in the art.
- The present invention may be described in terms of functional block components and various processing steps. Such functional blocks may be realized by any number of hardware and/or software components configured to perform the specified functions. For example, the present invention may employ various integrated circuit components, e.g., memory elements, processing elements, logic elements, look-up tables, and the like, which may carry out a variety of functions under the control of one or more microprocessors or other control devices. Similarly, where the elements of the present invention are implemented using software programming or software elements the invention may be implemented with any programming or scripting language such as C, C++, Java, assembler, or the like, with the various algorithms being implemented with any combination of data structures, objects, processes, routines or other programming elements. Furthermore, the present invention could employ any number of conventional techniques for electronics configuration, signal processing and/or control, data processing and the like.
- The particular implementations shown and described herein are illustrative examples of the invention and are not intended to otherwise limit the scope of the invention in any way. For the sake of brevity, conventional electronics, control systems, software development and other functional aspects of the systems (and components of the individual operating components of the systems) may not be described in detail. Furthermore, the connecting lines, or connectors shown in the various figures presented are intended to represent exemplary functional relationships and/or physical or logical couplings between the various elements. It should be noted that many alternative or additional functional relationships, physical connections or logical connections may be present in a practical device. Moreover, no item or component is essential to the practice of the invention unless the element is specifically described as “essential” or “critical”. Numerous modifications and adaptations will be readily apparent to those skilled in this art without departing from the spirit and scope of the present invention.
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US11/036,307 US7536219B2 (en) | 2004-02-20 | 2005-01-14 | 4D imaging with a C-arm X-ray system |
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US11/036,307 US7536219B2 (en) | 2004-02-20 | 2005-01-14 | 4D imaging with a C-arm X-ray system |
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090116616A1 (en) * | 2007-10-25 | 2009-05-07 | Tomotherapy Incorporated | System and method for motion adaptive optimization for radiation therapy delivery |
US20090163799A1 (en) * | 2007-12-13 | 2009-06-25 | Stephan Erbel | Detection of the position of a moving object and treatment method |
US7643661B2 (en) * | 2005-07-22 | 2010-01-05 | Tomo Therapy Incorporated | Method and system for evaluating delivered dose |
US8229068B2 (en) | 2005-07-22 | 2012-07-24 | Tomotherapy Incorporated | System and method of detecting a breathing phase of a patient receiving radiation therapy |
US8553839B2 (en) | 2008-12-11 | 2013-10-08 | Koninklijke Philips N.V. | System and method for generating images of a patient's interior and exterior |
US8767917B2 (en) | 2005-07-22 | 2014-07-01 | Tomotherapy Incorpoated | System and method of delivering radiation therapy to a moving region of interest |
US9731148B2 (en) | 2005-07-23 | 2017-08-15 | Tomotherapy Incorporated | Radiation therapy imaging and delivery utilizing coordinated motion of gantry and couch |
US11116469B2 (en) * | 2019-02-21 | 2021-09-14 | Siemens Healthcare Gmbh | Method for determining a relative position of an object in relation to an x-ray imaging apparatus |
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US8467497B2 (en) * | 2007-10-25 | 2013-06-18 | Tomotherapy Incorporated | System and method for motion adaptive optimization for radiation therapy delivery |
US8131044B2 (en) * | 2008-04-08 | 2012-03-06 | General Electric Company | Method and apparatus for determining the effectiveness of an image transformation process |
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Cited By (10)
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US11116469B2 (en) * | 2019-02-21 | 2021-09-14 | Siemens Healthcare Gmbh | Method for determining a relative position of an object in relation to an x-ray imaging apparatus |
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